Kunal
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README.md
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---
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---
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# 📄 Chat with PDF – Gemini AI Agent
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A conversational AI agent that lets you upload any PDF and chat with its contents!
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Built with [smolagents](https://github.com/smol-ai/smol-agents), [Google Gemini](https://aistudio.google.com/), [pypdf](https://pypdf.readthedocs.io/), and [Gradio](https://gradio.app/).
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---
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## 🌐 Try it Online
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> **Live Demo:**
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> [https://huggingface.co/spaces/your-username/your-space-name](https://huggingface.co/spaces/your-username/your-space-name)
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---
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## 🏗️ Tech Stack
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| Layer | Technology | Purpose |
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|--------------------|-------------------------------------------|--------------------------------------------|
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| LLM Orchestration | [smolagents](https://github.com/smol-ai/smol-agents) | Agent framework, tool integration |
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| Language Model | [Google Gemini 1.5 Flash](https://aistudio.google.com/) | Large Language Model for Q&A |
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| LLM API Adapter | [LiteLLM](https://github.com/BerriAI/litellm) | Unified LLM API interface |
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| PDF Processing | [pypdf](https://pypdf.readthedocs.io/) | Extracts text from uploaded PDF files |
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| Web UI | [Gradio](https://gradio.app/) | Interactive chat interface |
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| Environment Mgmt | [python-dotenv](https://pypi.org/project/python-dotenv/) | Loads environment variables (local dev) |
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| Deployment | [Hugging Face Spaces](https://huggingface.co/spaces) | Cloud hosting (public demo) |
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---
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## 🚀 Features
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- **Upload any PDF** and extract its text instantly.
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- **Ask questions** about the document—get answers powered by Google Gemini (1.5 Flash).
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- **Conversational interface** using Gradio.
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- **Runs locally or on Hugging Face Spaces**.
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---
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## 🛠️ Installation (Local)
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1. **Clone this repository:**
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```bash
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git clone https://github.com/yourusername/pdf-chat-gemini
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cd pdf-chat-gemini
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```
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2. **Install dependencies:**
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```bash
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pip install -r requirements.txt
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```
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3. **Set up your Gemini API Key:**
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- Get your key from [Google AI Studio](https://aistudio.google.com/app/apikey).
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- Create a `.env` file in the project root:
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```
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GEMINI_API_KEY=your_actual_key_here
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```
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---
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## 📝 Usage
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### **Local**
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```py
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python app.py
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```
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Open [http://localhost:7860](http://localhost:7860) in your browser.
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### **Hugging Face Spaces**
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- Go to your Space: [https://huggingface.co/spaces/your-username/your-space-name](https://huggingface.co/spaces/your-username/your-space-name)
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- Click **"Duplicate Space"** to make your own copy, or use it directly if public.
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- Add your `GEMINI_API_KEY` as a secret in the Space settings (if you duplicate or deploy privately).
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---
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## ⚙️ Configuration
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- **Model:** Uses `"gemini/gemini-1.5-flash"` by default. If you have access to `"gemini/gemini-1.5-pro"`, change the `model_id` in `app.py`.
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- **API Key:** Must be a [Google AI Studio](https://aistudio.google.com/app/apikey) key, not a Vertex AI or GCP key.
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- **No `api_base` needed** for Gemini AI Studio keys.
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---
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## 🧩 How it Works
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1. **Upload a PDF**: The app extracts all text using `pypdf`.
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2. **Ask a question**: Your question and the extracted text are sent to the Gemini model via smolagents.
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3. **Get answers**: The agent uses Gemini to answer your question, referencing the PDF content.
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---
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## 🧑💻 For Developers
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- **Add more tools**: Use the `@tool` decorator from smolagents to add custom functions.
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- **Customize the UI**: Edit the Gradio blocks in `app.py`.
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- **Chunking or RAG**: For large PDFs, consider splitting text into chunks and using retrieval-augmented generation.
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---
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## 📜 License
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MIT License.
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See [LICENSE](LICENSE) for details.
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---
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## 🙌 Acknowledgments
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- [smol-ai/smol-agents](https://github.com/smol-ai/smol-agents)
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- [Google AI Studio](https://aistudio.google.com/)
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- [Gradio](https://gradio.app/)
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- [pypdf](https://pypdf.readthedocs.io/)
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---
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**Enjoy chatting with your PDFs!**
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For questions or contributions, open an issue or pull request.
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