Update app.py

app.py

@@ -1,30 +1,74 @@
-import os
-import requests
 import gradio as gr
+import requests
+import json
 
-API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2"
-headers = {"Authorization": f"Bearer {os.environ.get('HF_TOKEN')}"}
+# ======================
+# 🔑 Your API Key
+# ======================
+API_KEY = "sk-9bUOTBxrvS2p5e8z7kcyZEC7ocsw84DonYz3wWt1m94vC9PA"
+BASE_URL = "https://api.chatanywhere.tech/v1/chat/completions"
 
-def generate_notes(topic):
+# ======================
+# 💬 Function to call ChatAnywhere API
+# ======================
+def generate_notes(topic, model_choice):
     if not topic.strip():
-        return "⚠️ Please enter a topic first."
+        return "⚠️ Please enter a topic."
+
+    prompt = f"Create well-structured, easy-to-understand study notes about {topic}."
+
+    headers = {
+        "Content-Type": "application/json",
+        "Authorization": f"Bearer {API_KEY}"
+    }
+
+    payload = {
+        "model": model_choice,
+        "messages": [
+            {"role": "system", "content": "You are a helpful note-taking assistant."},
+            {"role": "user", "content": prompt}
+        ],
+        "temperature": 0.7
+    }
 
-    prompt = (
-        f"Write detailed, educational notes about '{topic}'. "
-        f"Include clear explanations, key terms, and examples. "
-        f"Use proper paragraphs and avoid repetition."
+    try:
+        response = requests.post(BASE_URL, headers=headers, json=payload)
+        if response.status_code == 200:
+            result = response.json()
+            notes = result["choices"][0]["message"]["content"]
+            return notes.strip()
+        else:
+            return f"❌ Error {response.status_code}: {response.text}"
+    except Exception as e:
+        return f"⚠️ Exception: {e}"
+
+# ======================
+# 🎨 Gradio UI
+# ======================
+with gr.Blocks(title="📚 AI Study Notes Generator") as demo:
+    gr.Markdown(
+        """
+        # 📘 AI Study Notes Generator  
+        Type a topic, choose a model, and generate easy-to-understand notes.  
+        Powered by **ChatAnywhere API**.
+        """
     )
-    payload = {"inputs": prompt, "parameters": {"max_new_tokens": 600, "temperature": 0.7}}
-    response = requests.post(API_URL, headers=headers, json=payload)
-    result = response.json()
-    return result[0]["generated_text"]
-
-iface = gr.Interface(
-    fn=generate_notes,
-    inputs=gr.Textbox(lines=2, placeholder="Enter a topic (e.g. Photosynthesis)"),
-    outputs=gr.Textbox(lines=15, label="Generated Notes"),
-    title="📗 Detailed Note Generator (Mistral 7B via Hugging Face API)",
-    description="Uses the Mistral-7B model hosted on Hugging Face Inference API (secure token)."
-)
-
-iface.launch()
+
+    with gr.Row():
+        topic_input = gr.Textbox(label="Enter a Topic", placeholder="e.g. Photosynthesis, Machine Learning...")
+        model_choice = gr.Dropdown(
+            ["gpt-4o-mini", "gpt-4o", "gpt-3.5-turbo", "deepseek-chat", "gpt-5"],
+            value="gpt-4o-mini",
+            label="Select Model"
+        )
+
+    generate_button = gr.Button("✨ Generate Notes")
+    output_box = gr.Textbox(label="Generated Notes", lines=20)
+
+    generate_button.click(fn=generate_notes, inputs=[topic_input, model_choice], outputs=output_box)
+
+# ======================
+# 🚀 Launch App
+# ======================
+if __name__ == "__main__":
+    demo.launch()