Update app.py

app.py

@@ -1,69 +1,69 @@
-from openai import OpenAI
-import gradio as gr
-
-messages = [
-    {"role": "system", "content": "You are AI specialized in Prompt Engineering"},
-]
-client = OpenAI(api_key="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", base_url="https://openrouter.ai/api/v1")
-
-def chatbot(input, prompt_type):
-    if input:
-        if prompt_type == "Zero Shot Prompt":
-            input += ""
-        elif prompt_type == "One Shot Prompt":
-            input += " Convert this zero shot prompt to one shot prompt"
-        elif prompt_type == "Few Shot Prompt":
-            input += " Convert this zero shot prompt to few shot prompt"
-        elif prompt_type == "System Prompt":
-            input += " Convert this zero shot prompt to system prompt"
-        elif prompt_type == "Contextual Prompt":
-            input += " Convert this zero shot prompt to contextual prompt"
-        elif prompt_type == "Role Prompt":
-            input += " Convert this zero shot prompt to role prompt"
-        elif prompt_type == "Step-back Prompt":
-            input += " Convert this zero shot prompt to step-back prompt"
-        elif prompt_type == "Chain-of-thought Prompt":
-            input += " Convert this zero shot prompt to chain-of-thought prompt"
-        elif prompt_type == "Tree-of-thought":
-            input += " Convert this zero shot prompt to tree-of-thought prompt"
-        elif prompt_type == "React Prompt":
-            input += " Convert this zero shot prompt to react prompt"
-        elif prompt_type == "Code Prompt":
-            input += " Convert this zero shot prompt to code prompt"
-        elif prompt_type == "Multi-Modal Prompt":
-            input += " Convert this zero shot prompt to multi-Modal prompt"
-        elif prompt_type == "Augmented Prompt":
-            input += " Convert this zero shot prompt to augmented prompt"
-
-        messages.append({"role": "user", "content": f"{prompt_type}: {input}"})
-        chat = client.chat.completions.create(
-            model="deepseek/deepseek-r1:free", messages=messages
-        )
-        reply = chat.choices[0].message.content
-        messages.append({"role": "assistant", "content": reply})
-        return reply
-
-prompt_types = [
-    "Zero Shot Prompt", 
-    "One Shot Prompt", 
-    "Few Shot Prompt", 
-    "System Prompt",
-    "Contextual Prompt", 
-    "Role Prompt", 
-    "Step-back Prompt", 
-    "Chain-of-thought Prompt",
-    "Tree-of-thought Prompt", 
-    "React Prompt", 
-    "Code Prompt", 
-    "Multi-Modal Prompt",
-    "Augmented Prompt"
-]
-
-with gr.Blocks() as demo:
-    dropdown = gr.Dropdown(choices=prompt_types, label="Select Prompt Type", type="value")
-    inputs = gr.Textbox(lines=7, label="Prompt : Try - What is the value of pi")
-    outputs = gr.Textbox(label="Result")
-
-    gr.Interface(fn=chatbot, inputs=[inputs, dropdown], outputs=outputs, title="PolarisAI Labs - Prompt Engineering", theme="compact")
-
+from openai import OpenAI
+import gradio as gr
+
+messages = [
+    {"role": "system", "content": "You are AI specialized in Prompt Engineering"},
+]
+client = OpenAI(api_key="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", base_url="https://openrouter.ai/api/v1")
+
+def chatbot(input, prompt_type):
+    if input:
+        if prompt_type == "Zero Shot Prompt":
+            input += ""
+        elif prompt_type == "One Shot Prompt":
+            input += " Convert this zero shot prompt to one shot prompt"
+        elif prompt_type == "Few Shot Prompt":
+            input += " Convert this zero shot prompt to few shot prompt"
+        elif prompt_type == "System Prompt":
+            input += " Convert this zero shot prompt to system prompt"
+        elif prompt_type == "Contextual Prompt":
+            input += " Convert this zero shot prompt to contextual prompt"
+        elif prompt_type == "Role Prompt":
+            input += " Convert this zero shot prompt to role prompt"
+        elif prompt_type == "Step-back Prompt":
+            input += " Convert this zero shot prompt to step-back prompt"
+        elif prompt_type == "Chain-of-thought Prompt":
+            input += " Convert this zero shot prompt to chain-of-thought prompt"
+        elif prompt_type == "Tree-of-thought":
+            input += " Convert this zero shot prompt to tree-of-thought prompt"
+        elif prompt_type == "React Prompt":
+            input += " Convert this zero shot prompt to react prompt"
+        elif prompt_type == "Code Prompt":
+            input += " Convert this zero shot prompt to code prompt"
+        elif prompt_type == "Multi-Modal Prompt":
+            input += " Convert this zero shot prompt to multi-Modal prompt"
+        elif prompt_type == "Augmented Prompt":
+            input += " Convert this zero shot prompt to augmented prompt"
+
+        messages.append({"role": "user", "content": f"{prompt_type}: {input}"})
+        chat = client.chat.completions.create(
+            model="deepseek/deepseek-r1:free", messages=messages
+        )
+        reply = chat.choices[0].message.content
+        messages.append({"role": "assistant", "content": reply})
+        return reply
+
+prompt_types = [
+    "Zero Shot Prompt", 
+    "One Shot Prompt", 
+    "Few Shot Prompt", 
+    "System Prompt",
+    "Contextual Prompt", 
+    "Role Prompt", 
+    "Step-back Prompt", 
+    "Chain-of-thought Prompt",
+    "Tree-of-thought Prompt", 
+    "React Prompt", 
+    "Code Prompt", 
+    "Multi-Modal Prompt",
+    "Augmented Prompt"
+]
+
+with gr.Blocks() as demo:
+    dropdown = gr.Dropdown(choices=prompt_types, label="Select Prompt Type", type="value")
+    inputs = gr.Textbox(lines=7, label="Prompt : Try - What is the value of pi")
+    outputs = gr.Textbox(label="Result")
+
+    gr.Interface(fn=chatbot, inputs=[inputs, dropdown], outputs=outputs, theme="compact")
+
 demo.launch(share=True)