Upload app.py

app.py

@@ -0,0 +1,49 @@
+import gradio as gr
+import requests
+import cohere
+
+
+def get_weather_data():
+    lat = 27.0238
+    lon = 74.2179
+    key = "d07f2290a30824b709b50a94237cfcb7"
+    url = f"https://api.openweathermap.org/data/2.5/weather?units=metric&lat={lat}&lon={lon}&appid={key}"
+    response = requests.get(url)
+    result = response.json()
+    result["main"].update({"description": result["weather"][0]["description"]})
+    return result["main"]
+
+def generate_prompt(data):
+    weather_json = get_weather_data()
+    prompt = \
+    f'''Category: {data["Category"]}
+Crop Type: {data["Crop"]}
+Query Type: {data["QueryType"]}
+State: {data["StateName"].lower()}
+District: {data["DistrictName"].lower()}
+Max Temprature: {weather_json["temp_max"]}
+Min Temprature: {weather_json["temp_min"]}
+Humidity: {weather_json["humidity"]}
+Weather Description: {weather_json["description"]}
+Question: {data["QueryTranslated"]}
+'''
+    return prompt
+
+def get_response(prompt):
+    co = cohere.Client('EoYqxEa60C0EEeKadblGW8NE94geVCEE75lDqySe')
+    response = co.generate(  
+        model='command-xlarge-nightly',  
+        prompt = prompt,  
+        max_tokens=40,  
+        temperature=0.6,  
+        stop_sequences=["--"]
+    )
+    print(response[0])
+    return response.generations[0].text
+
+outputs = gr.outputs.Textbox()
+iface = gr.Interface(fn=get_response, 
+                     inputs=[gr.Textbox(label = 'First Code snippet')], 
+                     outputs=[gr.Textbox(label = 'Summary of first Code snippet')],
+                     description='The similarity score')
+iface.launch()