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| import gradio as gr | |
| from requests.exceptions import ConnectTimeout | |
| import time | |
| import requests | |
| global headers | |
| global cancel_url | |
| global path | |
| path = '' | |
| cancel_url ='' | |
| headers = { | |
| 'Content-Type': 'application/json', | |
| 'Authorization': 'Token r8_ZGZlzThfRkPZVDMygVclY1XZ9AuxmIQ2qwwPP', | |
| "Access-Control-Allow-Headers": "Content-Type", | |
| "Access-Control-Allow-Origin": '**', | |
| "Access-Control-Allow-Methods": "OPTIONS,POST,GET,PATCH"} | |
| with gr.Blocks() as demo: | |
| owner = "stability-ai" | |
| name = "stable-diffusion" | |
| max_retries = 3 | |
| retry_delay = 2 | |
| for retry in range(max_retries): | |
| try: | |
| url = f'https://api.replicate.com/v1/models/{owner}/{name}' | |
| response = requests.get(url, headers=headers, timeout=10) | |
| # Process the response | |
| break # Break out of the loop if the request is successful | |
| except ConnectTimeout: | |
| if retry < max_retries - 1: | |
| print(f"Connection timed out. Retrying in {retry_delay} seconds...") | |
| time.sleep(retry_delay) | |
| else: | |
| print("Max retries exceeded. Unable to establish connection.") | |
| data = response.json() | |
| description =data.get("description", '') | |
| title = data.get("default_example",'').get("model",'') | |
| version = data.get("default_example",'').get("version",'') | |
| gr.Markdown( | |
| f""" | |
| # {title} | |
| {description} | |
| """) | |
| with gr.Row(): | |
| with gr.Column(): | |
| inputs =[] | |
| schema =data.get("latest_version", {}).get("openapi_schema", {}).get("components", {}).get("schemas", {}) | |
| ordered_properties = sorted(schema.get("Input", {}).get("properties", {}).items(), key=lambda x: x[1].get("x-order", 0)) | |
| for property_name, property_info in ordered_properties : | |
| if "x-order" in property_info: | |
| order = int(property_info.get('x-order','')) | |
| if property_info.get("type", {}) == "integer": | |
| value= data.get('default_example', '').get('input','').get(property_name,0) | |
| if "minimum" and "maximum" in property_info: | |
| if value == 0: | |
| inputs.insert(order, gr.Slider(label=property_info.get('title', ''), info=property_info.get('description',''), value=property_info.get('default', value), minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', ''), step=1)) | |
| else: | |
| inputs.insert(order, gr.Slider(label=property_info.get('title', ''), info=property_info.get('description',''), value=value, minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', ''), step=1)) | |
| else: | |
| if value == 0: | |
| inputs.insert(order, gr.Number(label=property_info.get('title', ''), info=property_info.get('description',''), value=property_info.get('default', value))) | |
| else: | |
| inputs.insert(order, gr.Number(label=property_info.get('title', ''), info=property_info.get('description',''), value=value)) | |
| elif property_info.get("type", {}) == "string": | |
| value= data.get('default_example', '').get('input','').get(property_name,'') | |
| if property_info.get('format','') == 'uri': | |
| if 'image' in property_info.get('title', '').lower(): | |
| if value : | |
| inputs.insert(order, gr.Image(label=property_info.get('title', ''), value=value)) | |
| else : | |
| inputs.insert(order, gr.Image(label=property_info.get('title', ''))) | |
| # elif property_info.get('title','') == 'Image Path': | |
| # inputs.insert(order, gr.Image(label=property_info.get('title', ''), value=property_info.get('default', value))) | |
| else: | |
| inputs.insert(order, gr.File(label=property_info.get('title', ''))) | |
| else: | |
| if value == '': | |
| inputs.insert(order, gr.Textbox(label=property_info.get('title', ''), info=property_info.get('description', ''), value=property_info.get('default', value))) | |
| else: | |
| inputs.insert(order, gr.Textbox(label=property_info.get('title', ''), info=property_info.get('description', ''), value=value)) | |
| elif property_info.get("type", {}) == "number": | |
| value= data.get('default_example', '').get('input','').get(property_name, 0) | |
| if "minimum" and "maximum" in property_info: | |
| if value == 0: | |
| inputs.insert(order, gr.Slider(label=property_info.get('title', ''), info=property_info.get('description', ''), value=property_info.get('default', value), minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', ''))) | |
| else: | |
| inputs.insert(order, gr.Slider(label=property_info.get('title', ''), info=property_info.get('description', ''), value=value, minimum=property_info.get('minimum', ''), maximum=property_info.get('maximum', ''))) | |
| else: | |
| if value == 0: | |
| inputs.insert(order, gr.Number(label=property_info.get('title', ''), info=property_info.get('description', ''), value=property_info.get('default', value))) | |
| else: | |
| inputs.insert(order, gr.Number(label=property_info.get('title', ''), info=property_info.get('description', ''), value=value)) | |
| elif property_info.get("type", {}) == "boolean": | |
| value= data.get('default_example', '').get('input','').get(property_name,'') | |
| if value == '': | |
| inputs.insert(order, gr.Checkbox(label=property_info.get('title', ''), info=property_info.get('description', ''), value=property_info.get('default', value))) | |
| else: | |
| inputs.insert(order, gr.Checkbox(label=property_info.get('title', ''), info=property_info.get('description', ''), value=value)) | |
| else: | |
| value= data.get('default_example', '').get('input','').get(property_name,'') | |
| options=schema.get(property_name,'').get('enum',[]) | |
| if value == '': | |
| inputs.insert(order, gr.Dropdown(label=property_name, info=property_info.get('description', ''),choices=options, value=property_info.get("default", value))) | |
| else: | |
| inputs.insert(order, gr.Dropdown(label=property_name, info=property_info.get('description', ''),choices=options, value=value)) | |
| with gr.Row(): | |
| cancel_btn = gr.Button("Cancel") | |
| run_btn = gr.Button("Run") | |
| with gr.Column(): | |
| outputs = [] | |
| chain ='' | |
| if schema.get("Output",{}).get("type",'') == "array": | |
| for item in data.get("default_example",'').get("output",[]): | |
| if schema.get("Output",{}).get("items", '').get("type",'') == "string": | |
| if schema.get("Output",{}).get("items", '').get("format",'') == "uri": | |
| outputs.append(gr.Image(value=item)) | |
| else: | |
| if schema.get("Output",{}).get('x-cog-array-display','') == "concatenate": | |
| chain = chain + item | |
| outputs=gr.Textbox(value=chain) | |
| else: | |
| outputs.append(gr.Textbox(value=item)) | |
| elif schema.get("Output",{}).get("type",'') == "object": | |
| if schema.get("Output",{}).get("properties",'') == "media_path": | |
| outputs= gr.File() | |
| # value= data.get("default_example",'').get("output", '').get("media_path",'') | |
| properties = schema.get("Output", {}).get("properties", {}) | |
| if isinstance(properties, dict): | |
| for key, item in properties.items(): | |
| if item.get('type', '') == 'string': | |
| if item.get('format', '') == 'uri': | |
| outputs.append(gr.Image()) | |
| else: | |
| if schema.get("Output",{}).get("type",'') == "string": | |
| if schema.get("Output",{}).get("format",'') == "uri": | |
| path=(data.get("default_example",'').get("output",'')) | |
| print(path) | |
| if '.png' in path: | |
| outputs=(gr.Image(value=path)) | |
| else: | |
| outputs=(gr.Image()) | |
| else: | |
| outputs=(gr.Textbox(value=data.get("default_example",'').get("output",''))) | |
| def run_process(input1,input2,input3,input4,input5,input6,input7, input8, input9): | |
| global cancel_url | |
| url = 'https://replicate.com/api/predictions' | |
| body = { | |
| "version": version, | |
| "input": { | |
| "prompt": input1, | |
| "height": input2, | |
| "width": input3, | |
| "negative_prompt": input4, | |
| "num_outputs": input5, | |
| "num_inference_steps": input6, | |
| "guidance_scale": input7, | |
| "scheduler": input8, | |
| "seed": input9, | |
| } | |
| } | |
| response = requests.post(url, headers=headers, json=body) | |
| print(response.status_code) | |
| if response.status_code == 201: | |
| response_data = response.json() | |
| get_url = response_data.get('urls','').get('get','') | |
| identifier = 'https://replicate.com/api/predictions/'+get_url.split("/")[-1] | |
| print(identifier,'') | |
| cancel_url = response_data.get('urls','').get('cancel','') | |
| print(identifier) | |
| time.sleep(3) | |
| output =verify_image(identifier) | |
| print(output,'333') | |
| if output: | |
| for item in output: | |
| return gr.Image(value=item) | |
| else: | |
| return | |
| return gr.Image() | |
| def cancel_process(input1,input2,input3,input4,input5,input6,input7, input8, input9): | |
| return gr.Image(value='https://replicate.delivery/pbxt/sWeZFZou6v3CPKuoJbqX46ugPaHT1DcsWYx0srPmGrMOCPYIA/out-0.png') | |
| def verify_image(get_url): | |
| res = requests.get(get_url) | |
| if res.status_code == 200: | |
| res_data = res.json() | |
| output = res_data.get('output', []) | |
| print(output,'111') | |
| if output: | |
| print(output,'222') | |
| return output | |
| else: | |
| time.sleep(1) | |
| val = verify_image(get_url) | |
| return val | |
| else: | |
| return [] | |
| run_btn.click(run_process, inputs=inputs, outputs=outputs, api_name="run") | |
| cancel_btn.click(cancel_process, inputs=inputs, outputs=outputs, api_name="cancel") | |
| demo.launch() | |