Create app.py

app.py

@@ -0,0 +1,75 @@
+!pip install -q gradio
+!pip install -q groq
+import gradio as gr
+from groq import Groq
+import os
+os.environ["GROQ_API_KEY"] ="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"
+# Set your Groq API key as an environment variable (e.g., in Colab: import os; os.environ["GROQ_API_KEY"] = "your_actual_groq_api_key_here")
+client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+
+SYSTEM_PROMPT = """You are an expert in premier league fantasy . Provide structured and insightful responses to queries
+about players and coaches"""
+
+def respond(message, history, model, temperature, max_tokens):
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}]
+
+    for h in history:
+        messages.append({"role": "user", "content": h[0]})
+        if h[1]:
+            messages.append({"role": "assistant", "content": h[1]})
+
+    messages.append({"role": "user", "content": message})
+
+    try:
+        response = client.chat.completions.create(
+            model=model,
+            messages=messages,
+            temperature=temperature,
+            max_completion_tokens=max_tokens,
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# ChatInterface with additional inputs for parameters
+demo = gr.ChatInterface(
+    fn=respond,
+    title="🎬 premier league fantasy Generator AI",
+    description="Be the hero of the Week!",
+    additional_inputs=[
+        gr.Dropdown(
+            choices=[
+                "llama-3.3-70b-versatile",
+                "llama-3.1-8b-instant",
+            ],
+            value="llama-3.3-70b-versatile",
+            label="Model",
+            info="Select the AI model to use"
+        ),
+        gr.Slider(
+            minimum=0,
+            maximum=2,
+            value=0.9,
+            step=0.1,
+            label="Temperature",
+            info="Controls randomness. Lower = more focused, Higher = more creative"
+        ),
+        gr.Slider(
+            minimum=256,
+            maximum=8192,
+            value=2048,
+            step=256,
+            label="Max Tokens",
+            info="Maximum length of the response"
+        ),
+    ],
+    examples=[
+        ["what is the best player in this week"],
+        ["which player should I captin this week"],
+        ["Give me the perfect Team formation this week "],
+    ],
+    theme="soft",
+)
+
+if __name__ == "__main__":
+    demo.launch()