Add text-to-text generator with model selection using Pollinations API

app.py

@@ -0,0 +1,140 @@
+import gradio as gr
+import requests
+import json
+
+# Function to get available models from Pollinations API
+def get_available_models():
+    try:
+        response = requests.get("https://text.pollinations.ai/models")
+        if response.status_code == 200:
+            return response.json()
+        else:
+            # Fallback list of models based on API documentation
+            return [
+                "openai",
+                "mistral",
+                "mistral-large",
+                "claude-3.5-sonnet",
+                "llama-3.3-70b"
+            ]
+    except:
+        return [
+            "openai",
+            "mistral",
+            "mistral-large",
+            "claude-3.5-sonnet",
+            "llama-3.3-70b"
+        ]
+
+# Function to generate text using Pollinations API
+def generate_text(prompt, model, temperature, max_tokens, top_p):
+    if not prompt:
+        return "Please enter a prompt."
+    
+    try:
+        # Prepare the API request
+        url = "https://text.pollinations.ai/"
+        
+        # Build the query parameters
+        params = {
+            "model": model,
+            "prompt": prompt,
+            "temperature": temperature,
+            "max_tokens": int(max_tokens),
+            "top_p": top_p
+        }
+        
+        # Make the request
+        response = requests.get(url, params=params)
+        
+        if response.status_code == 200:
+            return response.text
+        else:
+            return f"Error: API returned status code {response.status_code}\n{response.text}"
+    
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Get available models
+available_models = get_available_models()
+
+# Create Gradio interface
+with gr.Blocks(title="Pollinations Text Generator") as demo:
+    gr.Markdown(
+        """
+        # 🌸 Pollinations Text Generator
+        Generate text using various AI models via the Pollinations API.
+        Select a model and provide a prompt to get started!
+        """
+    )
+    
+    with gr.Row():
+        with gr.Column():
+            prompt_input = gr.Textbox(
+                label="Prompt",
+                placeholder="Enter your text prompt here...",
+                lines=5
+            )
+            
+            model_dropdown = gr.Dropdown(
+                choices=available_models,
+                label="Model",
+                value=available_models[0] if available_models else "openai",
+                info="Select the AI model to use for text generation"
+            )
+            
+            with gr.Accordion("Advanced Settings", open=False):
+                temperature_slider = gr.Slider(
+                    minimum=0,
+                    maximum=2,
+                    value=0.7,
+                    step=0.1,
+                    label="Temperature",
+                    info="Controls randomness (higher = more creative)"
+                )
+                
+                max_tokens_slider = gr.Slider(
+                    minimum=1,
+                    maximum=2048,
+                    value=512,
+                    step=1,
+                    label="Max Tokens",
+                    info="Maximum length of the generated text"
+                )
+                
+                top_p_slider = gr.Slider(
+                    minimum=0,
+                    maximum=1,
+                    value=0.9,
+                    step=0.05,
+                    label="Top P",
+                    info="Nucleus sampling parameter"
+                )
+            
+            generate_btn = gr.Button("Generate", variant="primary")
+        
+        with gr.Column():
+            output_text = gr.Textbox(
+                label="Generated Text",
+                lines=15,
+                show_copy_button=True
+            )
+    
+    gr.Markdown(
+        """
+        ### About
+        This Space uses the [Pollinations API](https://github.com/pollinations/pollinations) for text generation.
+        The API supports multiple models and is free to use.
+        """
+    )
+    
+    # Set up the generate button action
+    generate_btn.click(
+        fn=generate_text,
+        inputs=[prompt_input, model_dropdown, temperature_slider, max_tokens_slider, top_p_slider],
+        outputs=output_text
+    )
+
+# Launch the app
+if __name__ == "__main__":
+    demo.launch()