Create app.py

app.py

@@ -0,0 +1,33 @@
+import streamlit as st
+import requests
+import json
+
+# Ollama API endpoint
+OLLAMA_API_URL = "http://localhost:7860/api/chat"  # Or your Ollama server address
+
+# Streamlit UI
+st.title("DeepSeek-R1 Chat")
+
+# User prompt input
+prompt = st.text_input("Enter your prompt:")
+
+# Button to send the prompt
+if st.button("Send"):
+    # Prepare the request data
+    data = {
+        "model": "deepseek-r1:7b",
+        "messages": [{"role": "user", "content": prompt}],
+        "stream": False
+    }
+
+    # Send the request to Ollama
+    try:
+        response = requests.post(OLLAMA_API_URL, data=json.dumps(data), headers={'Content-Type': 'application/json'})
+        response.raise_for_status()  # Raise an exception for bad status codes
+        response_data = response.json()
+        # Extract the model's response
+        model_response = response_data['message']['content']
+        st.write(f"**Model:** {model_response}")
+
+    except requests.exceptions.RequestException as e:
+        st.error(f"Error: {e}")