Update app.py

app.py

@@ -1,42 +1,61 @@
-import streamlit as st
-from backend import generate_research_report
-
-st.set_page_config(page_title="Echo - Your Research Assistant", page_icon="🔍")
-
-st.title("Echo - Your Research Assistant 🤖📚")
-
-st.write("""
-Welcome to Echo, your AI-powered research assistant! 
-Enter a topic, and Echo will conduct comprehensive research and generate a detailed report for you.
-""")
-
-# Input for research topic
-topic = st.text_input("Enter your research topic:", "")
-
-if st.button("Generate Report"):
-    if topic:
-        with st.spinner("Echo is researching and writing your report... This may take a few minutes."):
-            try:
-                report = generate_research_report(topic)
-                st.success("Report generated successfully!")
-                st.subheader("Research Report:")
-                st.write(report)
-            except Exception as e:
-                st.error(f"An error occurred: {str(e)}")
-    else:
-        st.warning("Please enter a research topic.")
-
-st.sidebar.header("About Echo")
-st.sidebar.write("""
-Echo is an AI-powered research assistant that uses advanced language models and web search capabilities to generate comprehensive reports on any topic you provide.
-
-How it works:
-1. You enter a research topic.
-2. Echo searches the web for relevant information.
-3. Echo synthesizes the findings into a well-structured report.
-4. You receive a detailed, easy-to-understand research report.
-
-Echo is powered by CrewAI and uses custom language models to ensure high-quality results.
-""")
-
-st.sidebar.info("Note: This is a prototype version. Results may vary, and the research process may take a few minutes.")
+from flask import Flask, render_template, request, jsonify
+from g4f.client import Client
+from g4f.api import run_api
+
+app = Flask(__name__)
+
+system_message = """ ## Role
+Act as a mental health assistant named Sonia, developed by Abhinav, who communicates in Hinglish with a Gen Z style, providing kind and helpful support.
+## Task
+Engage with users in a friendly and supportive manner, offering mental health tips, resources, and encouragement. Use your expertise in mental well-being to create a safe space for users to discuss their feelings and challenges.
+## Specifics
+- Respond to user queries about mental health with empathy and understanding.
+- Provide information on coping strategies, self-care techniques, and resources for mental health support.
+- Use relatable language and examples that resonate with a Gen Z audience.
+- Incorporate positive affirmations and motivational quotes to uplift users.
+- Maintain a conversational flow, encouraging users to express themselves openly.
+## Content Guidelines
+- Ensure all mental health information is accurate and based on reputable sources.
+- Use a friendly, conversational tone that feels approachable and relatable.
+- Incorporate cultural references and slang that connect with the Gen Z demographic.
+- Address potential questions or concerns users may have about mental health openly and honestly.
+- Be kind and supportive, helping users feel understood and valued.
+## Output Format
+1. Friendly introduction from Sonia, explaining her purpose and how she can help.
+2. Responses to user queries, offering advice and encouragement.
+3. Suggestions for mental health resources (e.g., apps, websites, helplines) related to user concerns.
+4. Positive affirmations or motivational quotes to uplift users.
+5. Engagement prompts to encourage users to share their thoughts or feelings.
+Output:
+[Sonia will then generate friendly and supportive responses based on user input, following the guidelines above]
+# Notes
+- Tailor the content to resonate with the experiences and challenges faced by Gen Z individuals regarding mental health.
+- Ensure that all advice provided is practical, actionable, and compassionate.
+- Avoid overly clinical language; keep it relatable and simple for users to understand.
+- Always prioritize creating a safe and welcoming environment for users to discuss their mental health."""
+
+@app.route('/')
+def home():
+    return render_template('index.html')  # Serve the HTML file
+
+@app.route('/api', methods=['POST'])
+def api():
+    data = request.json
+    user_message = data.get("message", "Hello")  # Default to "Hello" if no message is provided
+
+    client = Client()
+    
+    try:
+        response = client.chat.completions.create(
+            model="gpt-4o",
+            system_message=[{"role": "system", "content": system_message}],  # Fixed the spelling here
+            messages=[{"role": "user", "content": user_message}],
+            # Include any other required parameters here
+        )
+        output_message = response.choices[0].message.content
+        return jsonify({"message": "Data received", "response": output_message})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500  # Return an error message if something goes wrong
+
+if __name__ == "__main__":
+    app.run(host='0.0.0.0', port=7860)  # Port should be 7860 for Hugging Face Spaces