Update space

app.py

@@ -1,64 +1,64 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+from News import News
+from Gemma_Model import GemmaLLM
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+print("Starting server...")
 
+app = Flask(__name__)
+CORS(app)
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+news = News()
+gemma = GemmaLLM()
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+# business entertainment general health science sports technology
 
-    messages.append({"role": "user", "content": message})
+@app.get("/get_top_articles/")
+@app.get("/get_top_articles/<string:category>/")
+@app.get("/get_top_articles/<int:num_articles>/")
+@app.get("/get_top_articles/<int:num_articles>/<string:category>/")
+def get_top_articles(num_articles=5, category=None):
+    if category is not None: category = category.lower()
+    articles = news.get_top_headlines(num_headlines=num_articles, category=category)
+    articles = news.get_articles_from_headlines(articles)
+    
+    return jsonify(articles)
 
-    response = ""
+@app.get("/get_articles/")
+@app.get("/get_articles/<string:query>/")
+@app.get("/get_articles/<int:num_articles>/")
+@app.get("/get_articles/<int:num_articles>/<string:query>/")
+def get_articles(num_articles=5, query=None):
+    if query is not None: query = query.lower()
+    articles = news.get_headlines(num_headlines=num_articles, query=query)
+    articles = news.get_articles_from_headlines(articles)
+        
+    return jsonify(articles)
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+@app.post("/get_summary/")
+@app.post("/get_summary/<int:num_paragraphs>/")
+def get_summary(num_paragraphs=1):
+    article = request.json
+    message = gemma.get_summary_message(article, num_paragraphs)
+    summary = gemma.get_summary(message)
+    article["summary"] = summary
 
-        response += token
-        yield response
+    return jsonify(article)
 
+@app.post("/get_questions/")
+@app.post("/get_questions/<string:difficulty>/")
+@app.post("/get_questions/<int:num_questions>/")
+@app.post("/get_questions/<int:num_questions>/<string:difficulty>/")
+def get_questions(num_questions=3, difficulty="average"):
+    if "summary" in request.json:
+        summary = request.json["summary"]
+        questions = gemma.get_questions(gemma.get_questions_message(summary, num_questions, difficulty))
+    elif "summaries" in request.json:
+        summaries = request.json["summaries"]
+        messages = [gemma.get_questions_message(summary) for summary in summaries]
+        questions = gemma.get_questions(messages)
+    else: return jsonify({})
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+    return jsonify(questions)
 
-
-if __name__ == "__main__":
-    demo.launch()
+if __name__ == "__main__": app.run()

requirements.txt

@@ -1 +1,6 @@
-huggingface_hub==0.25.2
+Flask==3.1.0
+flask_cors==5.0.1
+newsapi_python==0.2.7
+newspaper3k==0.2.8
+torch==2.6.0+cu118
+transformers==4.50.0.dev0